テキスト型データの計量的分析

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1 2 Correlational Dictionary-based 2 Correlational Dictionary-based 1. Woodward 1934, Lasswell (Sociological Theory and Methods) , Vol.19, No.1:

2 Seale ) content analysis Dictionary-based Osgood et al Correlational contaminate Iker & Harway 102

3 Annenberg conference 2 Stone Dictionary-based aimless anarchy chaos dictionary Thematic text analysis Semantic text analysis Network text analysis "disambiguation" Popping 2000, Roberts ed Correlational Renz & Franke 2003, 2001 Lebart ) Dictionary-based Berelson 1952 Correlational 103

4 Phillips 1990 Correlational 2 Dictionary-based 2 Correlational Dictionary-based 3. Dictionary-basedGeneral Inquirer Stone et al Autocode 1992, ) Correlational WORDS Iker & Harway 1969 WordMiner Lebart 2000 KT Autocode 2000 KH Coder 4) KH Coder 104

5 b 1- a 1- b KH Coder 5) SAS SPSS KH Coder 6) 1 a b KH Coder KH Coder 2 KH Coder 4 7) KH Coder 3.2 KH Coder aimless anarchy chaos KH Coder 105

6 or or ( and not ) KH Coder 2 and or and not or not 8) KH Coder 1- b 1- b ) 3.3 KH Coder 106

7 1 1 SAS SPSS KHCoder 2 4. KH Coder

8 ) 3 3 KH Coder 1- b I II III 3 108

9 884 nodes, 31(columns) x 29(rows). Quantization error = Self-Organizing Map I I II I 3 "second thought"

10 3 6.60% 3.10% 3.81% 16.13% 6.01% 6.09% 18.91% 9.69% 7.11% 7.48% 4.65% 3.05% 3.96% 8.33% 14.21% 0.88% 0.97% 3.81% 1.17% 2.52% 3.55% 1.32% 2.91% 4.75% 5. 2 Dictionary-based Correlational 2 KH Coder Correlational Correlational 1- b Correlational Miller & Riechert 2001, Lebart

11 Dictionary-based aimless anarchy chaos Dictionary-based Correlational Correlational 11) Correlational Correlational Dictionary-based ) Dictionary-based 111

12 A(2) IT 1) POP File 6 95% 2) Lebart 2000Correlational Iker & Harway 1969 Correlational Dictionary-based Lebart 2000 Correlational 3) SSM ) KH Coder KH Coder 5) 2003 JUMAN ) KH Coder SAS SPSS KH Coder i ii KH Coder 112

13 association rule 7) Krippendorff 1980=1989:195 KH Coder 8) KH Coder 9) KH Coder 1 10) 2 2 Kohonen 1988=1993 Doszkocs et al ) 4 12) 4 Berelson, B Content Analysis in Communication Research. New York: Hafner Press. Doszkocs, T. E., J. Reggia & X. Lin "Connectionist Models and Information Retrieval." Annual Review of Information Science and Technology 25: Iker, H. P. & N. I. Harway "A Computer Systems Approach toward the Recognition and Analysis of Content." in G. A. Gerbner, O. R. Holsti, K. Krippendorff, W. J. Paisly & P. J. Stone (eds.) The Analysis of Communication Content: Developments in Scientific Theories and Computer Techniques. New York: Wiley & Sons.:

14 : Kohonen, T Self-Organization and Associative Memory. New York: Springer-Verlag. = Krippendorff, K Content Analysis: an Introduction to its Methodology. London: Sage. = JUMAN version Lasswell, H. D "The World Attention Survey: An Exploration of the Possibilities of Studying Attention Being Given to the United States by Newspapers Abroad." Public Opinion Quarterly 5(3): version Miller, M. & B. P. Riechert "Frame Mapping: A Quantitative Method for Investigating Issues in the Public Sphere." in M. D. West (ed.) Theory, Method, and Practice in Computer Content Analysis. London: Ablex: (2): L. Lebart InfoMiner 48(2): Osgood, C. E., G. J. Suci & P. H. Tennenbaum The measurement of Meaning. Urbana: University of Illinois Press. Phillips, D. C "Subjectivity and Objectivity: An Objective Inquiry." in E. W. Eisner & A. Peshkin (eds.) Qualitative inquiry in education: The continuing debate. New York: Teachers College Press.: Popping, R Computer-assisted Text Analysis. London: Sage. Renz, I. & J. Franke "Text Mining." in J. Franke, G. Nakhaeizadeh & I. Renz. (eds.) Text Mining: Theoretical Aspects and Applications. Heidelberg: Physica-Verlag Roberts, C. W. ed Text Analysis for the Social Sciences. Mahwah: Lawrence Erlbaum Seale, C "Using Computers to Analyze Qualitative Data." in D. Silverman (ed.) Doing Qualitative Research: A Practical Handbook. London: Sage.: Stone, P. J "Thematic Text Analysis: New Agendas for Analyzing Text Content." in C.W. Roberts (ed.) Text Analysis for the Social Sciences. Mahwah: Lawrence Erlbaum: Stone, P. J., D. C. Dunphy & D. M. Ogilvie The General Inquirer: A Computer Approach to Content Analysis. Cambridge: MIT Press SSM 15(1): : ( (A)(1))( ), Woodward, J. L "Quantitative Newspaper Analysis as a Technique of Opinion Research." Social Forces 12:

15 Quantitative Analysis of Textual Data: Differentiation and Coordination of Two Approaches Koichi HIGUCHI Faculty of Human Sciences Osaka University 1-2 Yamadaoka, Suita, Osaka , JAPAN In the field of social research, there have been quantitative analyses of various kinds of textual data, such as newspapers or open-ended survey questions. In most of these cases, either the correlational approach or the dictionary-based approach has been employed. In the former approach, multivariate analyses are utilized to examine word correlations or co-occurrences and discover themes. For example, cluster analysis of words is used to find groups of words that appear frequently in the same document. In the latter approach, words or documents are assigned to preexisting categories following rules that are created by the researchers, and categorization results are analyzed quantitatively. In this paper, the author evaluates these two approaches and proposes a third approach in which they are complementarily coordinated. In order to perform analyses that follow this new approach, original software was developed and distributed as free software. The author presents an analysis of responses to open-ended questions that uses the new approach and this software. In the conclusion, the author highlights the advantages of the new approach in comparison with the traditional two approaches. Keywords and phrases: content analysis, text mining, qualitative data, correlational approach, dictionary-based approach Received October 7, 2003 / Accepted February 19,

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情報化社会に関する全国調査中間報告書

情報化社会に関する全国調査中間報告書 9 1 1990 1998 25.2% 2000 38.6% 2001 50.1% 2002 3 57.2% 2001 12 60.5% 2002 3 49.5% 2001 12 44.0% 2002 1 1992 0 2 1993 1 2 1994 84 37 1995 467 283 1996 1411 1080 1997 1621 1057 1998 1700 1098 1999 3036 1666